Abstract
In today’s competitive world, it is unavoidable to provide a new efficient approach in the cycle of production and supplying. The problem of designing a supply chain network is included in strategic decisions in this area, and short-term changing the structure and configuration of logistics networks is almost impossible due to assigned much time and cost. This paper develops a comprehensive model for designing a sustainable closed-loop supply chain network based on economic, environmental and social requirements, both with applying cross-docking operations in the mentioned network. Utilizing the cross-docking system—as a new strategy of supply chain—along with simultaneous considering the above triple dimensions—economic, environmental and social requirements—in a comprehensive and sustainable approach offers a novel research scope in the wide range of problems related to supply chain network design, and in this regards, helps organizations improve their competitive advantage in different industries. For these reasons, in this study, a multi-objective mixed-integer linear programming model is developed, and in order to solve this NP-hard problem, a cuckoo optimization algorithm is utilized—as the first attempt in this area. Finally, to test the efficiency of the proposed metaheuristics, it is compared with other strong algorithms illustrating a quite well performance.






















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Acar K, Yalcin A, Yankov D (2012) Robust door assignment in less-than-truckload terminals. Comput Ind Eng 63(4):729–738
Alpan G, Ladier AL, Larbi R, Penz B (2011) Heuristic solutions for transshipment problems in a multiple door cross docking warehouse. Comput Ind Eng 61(2):402–408
Alvarez-Perez GA, González-Velarde JL, Fowler JW (2009) Crossdocking—just in time scheduling: an alternative solution approach. J Oper Res Soci 60(4):554–564
Arabani AB, Zandieh M, Ghomi SF (2012) A cross-docking scheduling problem with sub-population multi-objective algorithms. Int J Adv Manuf Technol 58(5–8):741–761
Aras N, Aksen D, Tanuğur AG (2008) Locating collection centers for incentive-dependent returns under a pick-up policy with capacitated vehicles. Eur J Oper Res 191(3):1223–1240
Bartholdi JJ III, Gue KR (2000) Reducing labor costs in an LTL crossdocking terminal. Oper Res 48(6):823–832
Bartholdi JJ, Gue KR (2004) The best shape for a crossdock. Trans Sci 38(2):235–244
Bender T, Hennes H, Kalcsics J, Melo MT, Nickel S (2002) Location software and interface with GIS and supply chain management. Facility location: applications and theory. Springer, Berlin, pp 233–274
Boysen N (2010) Truck scheduling at zero-inventory cross docking terminals. Comput Oper Res 37(1):32–41
Boysen N, Fliedner M (2010) Cross dock scheduling: classification, literature review and research agenda. Omega 38(6):413–422
Boysen N, Fliedner M, Scholl A (2010) Scheduling inbound and outbound trucks at cross docking terminals. OR Spectrum 32(1):135–161
Boysen N, Briskorn D, Tschöke M (2013) Truck scheduling in cross-docking terminals with fixed outbound departures. OR Spectrum 35(2):479–504
Briskorn D, Choi BC, Lee K, Leung J, Pinedo M (2010) Complexity of single machine scheduling subject to nonnegative inventory constraints. Eur J Oper Res 207(2):605–619
Cardoso SR, Barbosa-Póvoa APF, Relvas S (2013) Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty. Eur J Oper Res 226(3):436–451
Carlo HJ, Bozer YA (2011) Analysis of optimum shape and door assignment problems in rectangular unit-load crossdocks. Int J Logist Res Appl 14(3):149–163
Chaabane A, Ramudhin A, Paquet M (2012) Design of sustainable supply chains under the emission trading scheme. Int J Prod Econ 135(1):37–49
Chen F, Lee CY (2009) Minimizing the makespan in a two-machine cross-docking flow shop problem. Eur J Oper Res 193(1):59–72
Chen F, Song K (2009) Minimizing makespan in two-stage hybrid cross docking scheduling problem. Comput Oper Res 36(6):2066–2073
Chmielewski A, Naujoks B, Janas M, Clausen U (2009) Optimizing the door assignment in LTL-terminals. Trans Sci 43(2):198–210
Chopra S, Meindl P (2007) Supply chain management. Strategy, planning & operation. Gabler, Wiesbaden, pp 265–275
Cohen Y, Keren B (2009) Trailer to door assignment in a synchronous cross-dock operation. Int J Logist Syst Manag 5(5):574–590
Cruz-Rivera R, Ertel J (2009) Reverse logistics network design for the collection of end-of-life vehicles in Mexico. Eur J Oper Res 196(3):930–939
Dasci A, Verter V (2001) A continuous model for production–distribution system design. Eur J Oper Res 129(2):287–298
Dehghanian F, Mansour S (2009) Designing sustainable recovery network of end-of-life products using genetic algorithm. Resour Conserv Recycl 53(10):559–570
Dekker R, Fleischmann M, Inderfurth K, van Wassenhove LN (Eds) (2013). Reverse logistics: quantitative models for closed-loop supply chains. Springer Science & Business Media, Berlin
Demirel NÖ, Gökçen H (2008) A mixed integer programming model for remanufacturing in reverse logistics environment. Int J Adv Manuf Technol 39(11–12):1197–1206
Devika K, Jafarian A, Nourbakhsh V (2014) Designing a sustainable closed-loop supply chain network based on triple bottom line approach: A comparison of metaheuristics hybridization techniques. Eur J Oper Res 235(3):594–615
Elhedhli S, Merrick R (2012) Green supply chain network design to reduce carbon emissions. Transp Res Part D 17(5):370–379
Faccio M, Persona A, Sgarbossa F, Zanin G (2014) Sustainable SC through the complete reprocessing of end-of-life products by manufacturers: a traditional versus social responsibility company perspective. Eur J Oper Res 233(2):359–373
Fleischmann M, Beullens P, Bloemhof-Ruwaard JM, Van Wassenhove LN (2001) The impact of product recovery on logistics network design. Prod Oper Manag 10(2):156–173
Fonseca MC, García-Sánchez Á, Ortega-Mier M, Saldanha-da-Gama F (2010) A stochastic bi-objective location model for strategic reverse logistics. Top 18(1):158–184
Forouharfard S, Zandieh M (2010) An imperialist competitive algorithm to schedule of receiving and shipping trucks in cross-docking systems. Int J Adv Manuf Technol 51(9–12):1179–1193
Gallego RC, Cueto EP (2009) Forecasting the returns in reusable containers closed-loop supply chains. A case in the LPG industry. In: XIII Congreso de Ingeniería de Organización: Barcelona, 2–4 de Septiembre de, pp 311–320
Georgiadis MC, Tsiakis P, Longinidis P, Sofioglou MK (2011) Optimal design of supply chain networks under uncertain transient demand variations. Omega 39(3):254–272
Jayaraman V, Pirkul H (2001) Planning and coordination of production and distribution facilities for multiple commodities. Eur J Oper Res 133(2):394–408
Jayaraman V, Ross A (2003) A simulated annealing methodology to distribution network design and management. Eur J Oper Res 144(3):629–645
Joo CM, Kim BS (2013) Scheduling compound trucks in multi-door cross-docking terminals. Int J Adv Manuf Technol 64(5–8):977–988
Kannan D, Diabat A, Alrefaei M, Govindan K, Yong G (2012) A carbon footprint based reverse logistics network design model. Resour Conserv Recycl 67:75–79
Ko HJ, Evans GW (2007) A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs. Comput Oper Res 34(2):346–366
Konur D, Golias MM (2013) Analysis of different approaches to cross-dock truck scheduling with truck arrival time uncertainty. Comput Ind Eng 65(4):663–672
Krikke H (2010) Opportunistic versus life-cycle-oriented decision making in multi-loop recovery: an eco-eco study on disposed vehicles. Int J Life Cycle Assess 15(8):757–768
Krikke HR, Kooi EJ, Schuur PC (1999) Network design in reverse logistics: a quantitative model. In New trends in distribution logistics. Springer, Berlin, pp 45–61
Larbi R, Alpan G, Baptiste P, Penz B (2011) Scheduling cross docking operations under full, partial and no information on inbound arrivals. Comput Oper Res 38(6):889–900
Li Y, Lim A, Rodrigues B (2004) Crossdocking—JIT scheduling with time windows. J Oper Res Soc 55(12):1342–1351
Listeş O, Dekker R (2005) A stochastic approach to a case study for product recovery network design. Eur J Oper Res 160(1):268–287
Lu Z, Bostel N (2007) A facility location model for logistics systems including reverse flows: The case of remanufacturing activities. Comput Oper Res 34(2):299–323
Luo G, Noble JS (2012) An integrated model for crossdock operations including staging. Int J Prod Res 50(9):2451–2464
Marin A, Pelegrín B (1998) The return plant location problem: Modelling and resolution. Eur J Oper Res 104(2):375–392
Mazhar MI, Kara S, Kaebernick H (2007) Remaining life estimation of used components in consumer products: life cycle data analysis by Weibull and artificial neural networks. J Oper Manag 25(6):1184–1193
McWilliams DL (2010) Iterative improvement to solve the parcel hub scheduling problem. Comput Ind Eng 59(1):136–144
McWilliams DL, McBride ME (2012) A beam search heuristics to solve the parcel hub scheduling problem. Comput Ind Eng 62(4):1080–1092
McWilliams DL, Stanfield PM, Geiger CD (2008) Minimizing the completion time of the transfer operations in a central parcel consolidation terminal with unequal-batch-size inbound trailers. Comput Ind Eng 54(4):709–720
Meixell MJ, Gargeya VB (2005) Global supply chain design: a literature review and critique. Trans Res Part E 41(6):531–550
Melo T, Nickel S, Saldanha-da-Gama F (2008) Network design decisions in supply chain planning. Fraunhofer-Institut für Techno-und Wirtschaftsmathematik, Fraunhofer (ITWM), Munich
Miao Z, Lim A, Ma H (2009) Truck dock assignment problem with operational time constraint within crossdocks. Eur J Oper Res 192(1):105–115
Min H, Ko HJ (2008) The dynamic design of a reverse logistics network from the perspective of thirdparty logistics service providers. Int J Prod Econ 113(1):176–192
Min H, Ko HJ, Ko CS (2006) A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns. Omega 34(1):56–69
Miranda PA, Garrido RA (2004) Incorporating inventory control decisions into a strategic distribution network design model with stochastic demand. Transp Res Part E Logist Transp Rev 40(3):183–207
Mota B, Gomes MI, Carvalho A, Barbosa-Povoa AP (2014) Towards supply chain sustainability: economic, environmental and social design and planning. J Clean Prod 105:14–27
Oh Y, Hwang H, Cha CN, Lee S (2006) A dock-door assignment problem for the Korean mail distribution center. Comput Ind Eng 51(2):288–296
Pati RK, Vrat P, Kumar P (2010) Quantifying bullwhip effect in a closed loop supply chain. Opsearch 47(4):231–253
Pishvaee MS, Razmi J (2012) Environmental supply chain network design using multi-objective fuzzy mathematical programming. Appl Math Model 36(8):3433–3446
Pishvaee MS, Farahani RZ, Dullaert W (2010) A memetic algorithm for bi-objective integrated forward/reverse logistics network design. Comput Oper Res 37(6):1100–1112
Pishvaee MS, Rabbani M, Torabi SA (2011) A robust optimization approach to closed-loop supply chain network design under uncertainty. Appl Math Model 35(2):637–649
Pishvaee MS, Razmi J, Torabi SA (2012a) Robust possibilistic programming for socially responsible supply chain network design: A new approach. Fuzzy Sets and Syst 206:1–20
Pishvaee MS, Torabi SA, Razmi J (2012b) Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty. Comput Ind Eng 62(2):624–632
Rajabioun R (2011) Cuckoo optimization algorithm. Appl Soft Comput 11(8):5508–5518
Ramezani M, Kimiagari AM, Karimi B, Hejazi TH (2014) Closed-loop supply chain network design under a fuzzy environment. Knowl-Based Syst 59:108–120
Rogers DS, Tibben-Lembke RS (1998) Going backwards: reverse logistics practices and trends. University of Nevada, Reno. Center of Logistics Management. Reverse Logistics Executive Council
Rosales CR, Fry MJ, Radhakrishnan R (2009) Transfreight reduces costs and balances workload at Georgetown crossdock. Interfaces 39(4):316–328
Salema MIG, Póvoa APB, Novais AQ (2009) A strategic and tactical model for closed-loop supply chains. OR spectr 31(3):573–599
Shakeri M, Low MYH, Turner SJ, Lee EW (2012) A robust two-phase heuristic algorithm for the truck scheduling problem in a resource-constrained crossdock. Comput Oper Res 39(11):2564–2577
Shevtshenko E, Wang Y (2009) Decision support under uncertainties based on robust Bayesian networks in reverse logistics management. Int J Comput Appl Technol 36(3–4):247–258
Simchi-Levi E, Kaminsky P (1999) Designing and managing the supply chain: concepts, strategies, and cases. McGraw-Hill, New York
Simchi-Levi D, Kaminsky P, Simchi-Levi E (2004) Managing the supply chain: the definitive guide for the business professional. McGraw-Hill Companies, New York
Soleimani H, Kannan G (2015) A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks. Appl Math Model 39(14):3990–4012
Soleimani H, Seyyed-Esfahani M, Shirazi MA (2013a) Designing and planning a multi-echelon multi-period multi-product closed-loop supply chain utilizing genetic algorithm. Int J Adv Manuf Technol 68(1–4):917–931
Soleimani H, Seyyed-Esfahani M, Shirazi MA (2013b) A new multi-criteria scenario-based solution approach for stochastic forward/reverse supply chain network design. Ann Oper Res 242:399–421
Soltani R, Sadjadi SJ (2010) Scheduling trucks in cross-docking systems: a robust meta-heuristics approach. Trans Res Part E 46(5):650–666
Stadtler H, Kilger C (2000) Supply chain management and advanced planning. Springer, Berlin
Stephan K, Boysen N (2011) Vis-à-vis vs. mixed dock door assignment: a comparison of different cross dock layouts. Oper Manag Res 4(3–4):150–163
Syarif A, Yun Y, Gen M (2002) Study on multi-stage logistic chain network: a spanning treebased genetic algorithm approach. Comput Ind Eng 43(1–2):299–314
Tsiakis P, Papageorgiou LG (2008) Optimal production allocation and distribution supply chain networks. Int J Prod Econ 111(2):468–483
Tsui LY, Chang CH (1990) A microcomputer based decision support tool for assigning dock doors in freight yards. Comput Ind Eng 19(1):309–312
Tsui LY, Chang CH (1992) An optimal solution to a dock door assignment problem. Comput Ind Eng 23:1–4
Vahdani B, Zandieh M (2010) Scheduling trucks in cross-docking systems: robust meta-heuristics. Comput Ind Eng 58(1):12–24
Vahdani B, Soltani R, Zandieh M (2010) Scheduling the truck holdover recurrent dock cross-dock problem using robust meta-heuristics. Int J Adv Manuf Technol 46(5–8):769–783
Van Belle J, Valckenaers P, Berghe GV, Cattrysse D (2013) A tabu search approach to the truck scheduling problem with multiple docks and time windows. Comput Ind Eng 66(4):818–826
Vis IF, Roodbergen KJ (2011) Layout and control policies for cross docking operations. Comput Ind Eng 61(4):911–919
Wang JF, Regan A (2008) Real-time trailer scheduling for crossdock operations. Trans J 8:5–20
Wang HF, Hsu HW (2010) A closed-loop logistic model with a spanning-tree based genetic algorithm. Comput Oper Res 37(2):376–389
Wang F, Lai X, Shi N (2011) A multi-objective optimization for green supply chain network design. Decis Support Syst 51(2):262–269
Yang XS (ed) (2013) Cuckoo search and firefly algorithm: theory and applications. Springer, Berlin, vol 516
Yang XS, Deb S (2009) Cuckoo search via Lévy flights. In: NaBIC 2009. World Congress on nature & biologically inspired computing. IEEE, pp 210–214
Yang XS, Deb S (2013) Multi-objective cuckoo search for design optimization. Comput Oper Res 40(6):1616–1624
Yeh WC (2005) A hybrid heuristic algorithm for the multistage supply chain network problem. The International Int J Adv Manuf Technol 26(5–6):675–685
Yu W, Egbelu PJ (2008) Scheduling of inbound and outbound trucks in cross docking systems with temporary storage. Eur J Oper Res 184(1):377–396
Yu VF, Sharma D, Murty KG (2008) Door allocations to origins and destinations at less-than-truckload trucking terminals. J Ind Syst Eng 2(1):1–15
Zhang X, Pieter van Donk D, van der Vaart T (2011) Does ICT influence supply chain management and performance? A review of survey-based research. Int J Oper Prod Manag 31(11):1215–1247
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Rezaei, S., Kheirkhah, A. A comprehensive approach in designing a sustainable closed-loop supply chain network using cross-docking operations. Comput Math Organ Theory 24, 51–98 (2018). https://doi.org/10.1007/s10588-017-9247-3
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DOI: https://doi.org/10.1007/s10588-017-9247-3